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ORCID18th ICIC 2022: Xi'an, China - Part II
- De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13394, Springer 2022, ISBN 978-3-031-13828-7
Biomedical Data Modeling and Mining
- Guoqing Zhao, Pengpai Li, Zhi-Ping Liu:
A Comparison Study of Predicting lncRNA-Protein Interactions via Representative Network Embedding Methods. 3-13 - Mengting Niu, Abd El-Latif Hesham
, Quan Zou:
GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network. 14-27 - Wentao Gao, Ziyi Huang, Hao Zhang, Jianfeng Lu:
Anti-breast Cancer Drug Design and ADMET Prediction of ERa Antagonists Based on QSAR Study. 28-40 - Rong Zeng, Hao Zhang, Jianfeng Lu, Tiaojuan Han, Haitong Guo:
Real-Time Optimal Scheduling of Large-Scale Electric Vehicles Based on Non-cooperative Game. 41-52 - Yongpu Yang, Haitao Gan, Zhi Yang:
TBC-Unet: U-net with Three-Branch Convolution for Gliomas MRI Segmentation. 53-65 - Peng Lei, Chang-an Yuan, Hongjie Wu, Xingming Zhao:
Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System. 66-78 - Qiqi Jiao, Yu Jiang, Yang Zhang, Yadong Wang, Junyi Li:
NSAP: A Neighborhood Subgraph Aggregation Method for Drug-Disease Association Prediction. 79-91 - Xianbao Tan, Chang-an Yuan, Hongjie Wu, Xingming Zhao:
Comprehensive Evaluation of BERT Model for DNA-Language for Prediction of DNA Sequence Binding Specificities in Fine-Tuning Phase. 92-102 - Zhenrun Zhan, Tingting Zhao, Xiaodan Bi, Jinpeng Yang, Pengyong Han:
Identification and Evaluation of Key Biomarkers of Acute Myocardial Infarction by Machine Learning. 103-115 - Yanran Li, Chandrasekhar Gopalakrishnan, Jian Wang, Rajasekaran Ramalingam, Caixia Xu, Pengyong Han:
Glioblastoma Subtyping by Immuogenomics. 116-125 - Shuhui Liu, Yupei Zhang, Xuequn Shang:
Functional Analysis of Molecular Subtypes with Deep Similarity Learning Model Based on Multi-omics Data. 126-137 - Xiaoguang Li, Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang:
Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints. 138-149
Intelligent Computing in Computational Biology
- Hanyu Luo, Cheng Chen, Wenyu Shan, Pingjian Ding, Lingyun Luo:
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength. 153-165 - Dian-Xiao Wang, Cunmei Ji, Yu-Tian Wang, Lei Li, Jian-Cheng Ni, Bin Li:
GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations. 166-180 - Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang:
Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks. 181-195 - Chujie Fang, Yuanyuan Li:
SCDF: A Novel Single-Cell Classification Method Based on Dimension-Reduced Data Fusion. 196-206 - Caixia Xu, Xiaokun Yang, Zhipeng Wang, Pengyong Han, Xiaoguang Li, Zhengwei Li:
Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology. 207-219 - Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen:
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works. 220-232 - Dongyi Li, Xiyu Liu:
An Enhanced Graph Neural Network Based on the Tissue-Like P System. 233-244 - Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang:
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. 245-259 - Zhenrun Zhan, Pengyong Han, Xiaodan Bi, Jinpeng Yang, Tingting Zhao:
A Novel Cuprotosis-Related Gene Signature Predicts Survival Outcomes in Patients with Clear-Cell Renal Cell Carcinoma. 260-269 - Ji-Ren Zhou, Zhuhong You, Xuequn Shang, Rui Niu, Yue Yun:
Identification of miRNA-lncRNA Underlying Interactions Through Representation for Multiplex Heterogeneous Network. 270-277 - Weiwei Wang, Hongbo Liu:
ACNN: Drug-Drug Interaction Prediction Through CNN and Attention Mechanism. 278-288 - Chandrasekhar Gopalakrishnan, Caixia Xu, Yanran Li, Vinutha Anandhan, Sanjay Gangadharan, Meshach Paul, Chandra Sekar Ponnusamy, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li:
Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network. 289-301 - Junkai Liu, Tengsheng Jiang, Yaoyao Lu, Hongjie Wu:
Drug-Target Interaction Prediction Based on Transformer. 302-309 - Yaoyao Lu, Junkai Liu, Tengsheng Jiang, Shixuan Guan, Hongjie Wu:
Protein-Ligand Binding Affinity Prediction Based on Deep Learning. 310-316
Computational Genomics and Biomarker Discovery
- Ming Xiao, Ruiying Yin, Pengbo Gao, Jun Yu, Fubo Ma, Zichun Dai, Le Zhang:
Position-Defined CpG Islands Provide Complete Co-methylation Indexing for Human Genes. 319-333 - Hongri Yang, Qingfang Meng, Yuehui Chen, Lianxin Zhong:
Predicting the Subcellular Localization of Multi-site Protein Based on Fusion Feature and Multi-label Deep Forest Model. 334-344 - Zhensheng Sun, Junliang Shang, Hongyu Duan, Jin-Xing Liu, Xikui Liu, Yan Li, Feng Li:
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification. 345-355 - Fengxu Sun, Xinguo Lu, Guanyuan Chen, Xiang Zhang, Kaibao Jiang, Jinxin Li:
A Novel Synthetic Lethality Prediction Method Based on Bidirectional Attention Learning. 356-363 - Daoxu Tang, Xinguo Lu, Kaibao Jiang, Fengxu Sun, Jinxin Li:
A Novel Trajectory Inference Method on Single-Cell Gene Expression Data. 364-373 - Feng Chang, Zhenqiong Chen, Caixia Xu, Hailei Liu, Pengyong Han:
Bioinformatic Analysis of Clear Cell Renal Carcinoma via ATAC-Seq and RNA-Seq. 374-382 - Hailei Liu, Zhenqiong Chen, Chandrasekhar Gopalakrishnan, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li:
The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers. 383-393 - Baoli Jia, Qingfang Meng, Qiang Zhang, Yuehui Chen:
Membrane Protein Amphiphilic Helix Structure Prediction Based on Graph Convolution Network. 394-404 - Yun Tian, Caixia Xu, Lin Li, Pengyong Han, Zhengwei Li:
The CNV Predict Model in Esophagus Cancer. 405-414 - Huaichao Luo, Ning Lin, Lin Wu, Ziru Huang, Ruiling Zu, Jian Huang:
TB-LNPs: A Web Server for Access to Lung Nodule Prediction Models. 415-420
Intelligent Computing in Drug Design
- Jinglu Tao, Xiaolong Zhang, Xiaoli Lin:
A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies. 423-437 - Zhenghao Wu, Xiaolong Zhang, Xiaoli Lin:
KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network. 438-450 - Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang:
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. 451-459 - Mengyun Wu, Bo Li:
Single Image Dehazing Based on Generative Adversarial Networks. 460-469 - Yang Tian, Bo Li:
K-Nearest Neighbor Based Local Distribution Alignment. 470-480 - Lei Yang, Xiaolong Zhang:
A Video Anomaly Detection Method Based on Sequence Recognition. 481-495 - Minghao Xia, Jing Hu, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec. 496-506 - Yi Lei, Jing Hu, Ziyu Zhao, Siyi Ye:
Drug-Target Interaction Prediction Based on Attentive FP and Word2vec. 507-516 - Xinyuan Zhang, Xiaoli Lin, Jing Hu, Wenquan Ding:
Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity. 517-532 - Hang Zhang, Jing Hu, Xiaolong Zhang:
Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution. 533-546 - Huimin Xiang, Aoxing Li, Xiaoli Lin:
An Optimization Method for Drug-Target Interaction Prediction Based on RandSAS Strategy. 547-555 - Hongyu Sun, Xiaohui Li, Jin Yang, Yi Lyu, Pengyong Han, Jinping Zheng:
A Novel Cuprotosis-Related lncRNA Signature Predicts Survival Outcomes in Patients with Glioblastoma. 556-568 - Jie Lian, Pingyuan Lin, Yuxing Dai, Guilin Li:
Arbitrary Voice Conversion via Adversarial Learning and Cycle Consistency Loss. 569-578 - Pingyuan Lin, Jie Lian, Yuxing Dai:
MGVC: A Mask Voice Conversion Using Generating Adversarial Training. 579-587 - Jia-Ji Wan, Shuwen Chen, Rayan S. Cloutier, Hui-Sheng Zhu:
Covid-19 Detection by Wavelet Entropy and Genetic Algorithm. 588-599 - Jia-Ji Wang:
COVID-19 Diagnosis by Wavelet Entropy and Particle Swarm Optimization. 600-611
Theoretical Computational Intelligence and Applications
- Shuangshuang Yuan, Peng Wu, Yuehui Chen, Liqiang Zhang, Jian Wang:
An Integrated GAN-Based Approach to Imbalanced Disk Failure Data. 615-627 - Guangfu Gao, Peng Wu, Hui Li, Tianze Zhang:
Disk Failure Prediction Based on Transfer Learning. 628-637 - Jingbo Jia, Peng Wu, Kai Zhang, Ji Zhong:
Imbalanced Disk Failure Data Processing Method Based on CTGAN. 638-649 - Guan Wang, Yulin Wu, Qinghua Sun, Bin Yang, Zhao-na Zheng:
SID2T: A Self-attention Model for Spinal Injury Differential Diagnosis. 650-662 - Yue Zhang, Yuehui Chen, Baitong Chen, Yi Cao, Jiazi Chen, Hanhan Cong:
Predicting Protein-DNA Binding Sites by Fine-Tuning BERT. 663-669 - Wenzhen Fu, Yixin Zhong, Baitong Chen, Yi Cao, Jiazi Chen, Hanhan Cong:
i6mA-word2vec: A Newly Model Which Used Distributed Features for Predicting DNA N6-Methyladenine Sites in Genomes. 670-679 - Kai Xiao, Baitong Chen, Wenzheng Bao, Honglin Cheng:
Oxides Classification with Random Forests. 680-686 - Zheng Tao, Zhen Yang, Baitong Chen, Wenzheng Bao, Honglin Cheng:
Protein Sequence Classification with LetNet-5 and VGG16. 687-696 - Jianan Sui, Yuehui Chen, Baitong Chen, Yi Cao, Jiazi Chen, Hanhan Cong:
SeqVec-GAT: A Golgi Classification Model Based on Multi-headed Graph Attention Network. 697-704 - Tong Meng, Yuehui Chen, Baitong Chen, Yi Cao, Jiazi Chen, Hanhan Cong:
Classification of S-succinylation Sites of Cysteine by Neural Network. 705-714 - Yujun Liu, Jiaxin Hu, Yue Zhou, Wenzheng Bao, Honglin Cheng:
E. coli Proteins Classification with Naive Bayesian. 715-721 - Hongdong Wang, Zizhou Feng, Baitong Chen, Wenhao Shao, Zijun Shao, Yumeng Zhu, Zhuo Wang:
COVID-19 and SARS Virus Function Sites Classification with Machine Learning Methods. 722-730 - Wenzheng Bao, Zhuo Wang, Jian Chu:
Identification of Protein Methylation Sites Based on Convolutional Neural Network. 731-738 - Juxi Hu, Honglin Cheng:
Image Repair Based on Least Two-Way Generation Against the Network. 739-746 - Xin Zhao, Yihan Zhou, Jianfeng Yuan, Bo Yang, Xu Wu, Dong Wang, Pengwei Guan, Na Zhang:
Prediction of Element Distribution in Cement by CNN. 747-756 - Chao Dong, Jie Liu, Wenhui Yan, Mengmeng Han, Lijun Wu, Junfeng Xia, Yannan Bin:
An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients. 757-766 - Jinling Lai, Zhen Shen, Lin Yuan:
Bio-ATT-CNN: A Novel Method for Identification of Glioblastoma. 767-776 - Hongjian He, Xinwei Lu, Dingkai Huang, Jiang Xie:
STE-COVIDNet: A Multi-channel Model with Attention Mechanism for Time Series Prediction of COVID-19 Infection. 777-792 - Bindong Liu, Wu Zhang, Jiang Xie:
KDPCnet: A Keypoint-Based CNN for the Classification of Carotid Plaque. 793-806 - Sheng You, Zihan Lai, Jiawei Luso:
Multi-source Data-Based Deep Tensor Factorization for Predicting Disease-Associated miRNA Combinations. 807-821
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